Future Tech Jobs
Future Tech Jobs
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...
About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers,...
Design and evolve scalable software systems for distributed AI training and inference, focusing on communication efficiency, runtime performance, and system-level integration across GPUs, DPUs, and interconnects. Develop next-generation capabilities in libraries like NCCL, UCX, and UCC, and collaborate with AI framework and hardware teams to optimize end-to-end performance at scale. Drive innovation in AI-specific protocol layers and co-designed solutions for large-scale AI workloads.
Design and evolve scalable software architectures for distributed AI training and inference, focusing on communication efficiency, runtime systems, and hardware-software co-design across GPUs, DPUs, and interconnects. Develop and optimize libraries like NCCL, UCX, and UCC for frontier AI workloads. Collaborate with AI framework and platform teams to improve end-to-end performance and enable next-generation AI infrastructure at scale.
Design and evolve scalable software architectures for distributed AI training and inference, focusing on communication efficiency, runtime systems, and hardware-software co-design across GPUs, DPUs, and interconnects. Develop and optimize libraries like NCCL, UCX, and UCC for frontier AI workloads. Collaborate with AI framework and platform teams to enhance end-to-end performance at scale.
Design and evolve scalable software systems for distributed AI training and inference, focusing on communication efficiency, runtime performance, and hardware-software co-design across GPU, DPU, and interconnect technologies. Develop and optimize libraries like NCCL, UCX, and UCC, and collaborate with AI framework and platform teams to enable high-performance, large-scale AI workloads. Drive innovation in system-level capabilities for next-generation AI infrastructure.
As a Senior GPU Networking Architect, you will build and optimize GPU communication kernels for large-scale AI systems, focusing on minimizing latency and improving efficiency. You will collaborate with hardware, software, and AI teams to co-design communication strategies and contribute to the development of GPU-aware programming models.
As a Senior GPU Networking Architect, you will build and optimize GPU communication kernels for large-scale AI systems, leveraging deep knowledge of GPU architecture to improve kernel efficiency and minimize latency. You will collaborate with network software, hardware, and AI framework teams to co-design communication strategies and contribute to the evolution of GPU-aware programming models.
As a Senior GPU Networking Architect, you will build and optimize GPU communication kernels for large-scale AI systems, leveraging deep knowledge of GPU architecture to improve kernel efficiency and minimize latency. You will collaborate with network software, hardware, and AI framework teams to co-design communication strategies and contribute to the evolution of GPU-aware programming models.
As a Senior GPU Networking Architect, you will build and optimize GPU communication kernels for large-scale AI systems, leveraging deep knowledge of GPU architecture to improve kernel efficiency and minimize latency. You will collaborate with network software, hardware, and AI framework teams to co-design communication strategies and contribute to the evolution of GPU-aware programming models.
